We also evaluated the models for the PPMI dataset in terms of two prediction tasks with five independent runs each. We made two random visit measurements of each participant in the test split known to the model as a part of the training split to predict the remaining (unseen) visits.
The performance is evaluated on the known (or artificial) missing values that we introduced.
We used the normalised root mean squared error (NRMSE) for numerical values, accuracy error for categorical values, and displacement error for ordinal values, as in [1]}.
